Role of automation in securing cloud data

Role of automation in securing cloud data

Enterprises leaders believe that data automation lets organizations conduct operations in a secure, reliable, and consistent manner

CIOs say that data automation can be effectively used to handle security. In the current scenario where enterprises have to deal with dynamic threat actors, they should be capable of responding to security issues and lapses within minutes or seconds.

The threat actors and their strategies keep changing; however, the criticality of protecting and reducing attacks on cloud platforms will always remain constant. If the risk is decreased, the attack surface is reduced considerably, which results in a smaller blast radius. It helps reduce costly repercussions in a breach event.

Organizations that are highly regulated should deploy automation to mitigate, identify, and resolve cloud issues. This must be done especially to avoid expensive outcomes. It is very critical in the current scenario, where most enterprises are accelerating their digital transformation journey. They are fast reaping advantages like agility and speed and to ensure business continuity as employees work from remote locations.

Read More: AI-based Software Growth set to Plunge despite the Rapid Market Growth

CIOs point out that organizations that implement advanced automation tools for protecting data in the cloud have a competitive edge as they receive immediate alerts and notifications regarding policy violations or misconfigurations.

They can also more easily design workflows that can produce resolutions for human-based processes and implement prescriptive actions that can solve the issues. The biggest advantage of automation is that it identifies if data is being exposed or misused and sets forward a rapid response for the issue.

Automated Remediation

Enterprise leaders say that automated remediation measures are capable of performing actions like updating cloud data architecture, re-configuring cloud services, boosting human-based workflows that are integrated with current platforms, and planning out the workflow activities in other systems.

Such remediation enabled organizations to focus on the highly critical problems while ensuring that normal routine problems are solved and reconfigured accurately, so that data is continuously and effectively secured and minor misconfigurations don’t transform into data leaks.

Leaders believe that when organizations secure their cloud data via automation, they, in turn, become enablers of the cloud. When they invest in automation security services, executive-level leadership becomes more confident and comfortable about sensitive information being transported via the cloud.

It accelerates the widespread adoption of cloud through the industry. Accurately automated cloud security policies are vital to ensure proper deployment and continued enforcement of compliance and security.

In the end, the cloud service provides the required agility for organizations that are operating in the digital landscape and is proven to be effective in deploying workloads compared to conventional cloud data centers.

Read More: Assessing Intelligent Automation for its Transformation Capabilities

Enterprise leaders believe that the biggest obstacle to the implementation of automation is establishing trust with clients. They need to be assured that the automation tools will deploy corrective measures on non-compliant elements and not waste resources on false positives.

It is important to present conclusive and clear evidence of the outcomes to win the trust of the clients. This is best done via custom scorecards and reports that can be showcased to stakeholders and auditors to prove that all detected misconfigurations were open to the public, and none were misidentified.